## Family: zero_inflated_poisson
## Links: mu = log; zi = logit
## Formula: n_amr_events ~ ln_livestock_consumption_kg_per_capita + ln_migrant_pop_perc + ln_tourism_inbound_perc + ab_export_perc + health_expend_perc + human_consumption_ddd + english_spoken + ln_pubs_sum_per_capita + ln_promed_mentions_per_capita + ln_gdp_per_capita + offset(ln_population)
## zi ~ ln_pubs_sum_per_capita + ln_promed_mentions_per_capita + ln_gdp_per_capita + ln_population + english_spoken
## Data: data[[i]] (Number of observations: 199)
## Samples: 120 chains, each with iter = 2000; warmup = 1000; thin = 1;
## total post-warmup samples = 120000
##
## Population-Level Effects:
## Estimate Est.Error l-95% CI
## Intercept -14.11 2.70 -19.64
## zi_Intercept 25.22 6.29 13.37
## ln_livestock_consumption_kg_per_capita -0.40 0.19 -0.68
## ln_migrant_pop_perc 0.17 0.07 0.06
## ln_tourism_inbound_perc 0.19 0.14 -0.05
## ab_export_perc 3.88 1.86 -0.30
## health_expend_perc -0.01 0.03 -0.06
## human_consumption_ddd 0.11 0.02 0.06
## english_spoken -0.17 0.14 -0.44
## ln_pubs_sum_per_capita 0.14 0.12 -0.09
## ln_promed_mentions_per_capita 0.27 0.08 0.11
## ln_gdp_per_capita 0.01 0.11 -0.18
## zi_ln_pubs_sum_per_capita -0.10 0.29 -0.69
## zi_ln_promed_mentions_per_capita 0.00 0.32 -0.63
## zi_ln_gdp_per_capita -1.11 0.27 -1.67
## zi_ln_population -1.00 0.22 -1.45
## zi_english_spoken -0.44 0.47 -1.38
## u-95% CI Eff.Sample Rhat
## Intercept -9.26 80 2.02
## zi_Intercept 38.07 11666 1.01
## ln_livestock_consumption_kg_per_capita -0.07 62 5.59
## ln_migrant_pop_perc 0.33 74 2.31
## ln_tourism_inbound_perc 0.50 64 3.91
## ab_export_perc 6.72 76 2.20
## health_expend_perc 0.06 70 2.62
## human_consumption_ddd 0.16 67 3.06
## english_spoken 0.10 78 2.08
## ln_pubs_sum_per_capita 0.37 95 1.65
## ln_promed_mentions_per_capita 0.43 85 1.86
## ln_gdp_per_capita 0.29 79 2.06
## zi_ln_pubs_sum_per_capita 0.45 1444 1.03
## zi_ln_promed_mentions_per_capita 0.65 109779 1.00
## zi_ln_gdp_per_capita -0.60 2290 1.02
## zi_ln_population -0.58 1486 1.03
## zi_english_spoken 0.48 6899 1.01
##
## Samples were drawn using sampling(NUTS). For each parameter, Eff.Sample
## is a crude measure of effective sample size, and Rhat is the potential
## scale reduction factor on split chains (at convergence, Rhat = 1).
## [1] TRUE